Chromosome instability-associated prognostic signature and cluster investigation for cutaneous melanoma cases

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2023-04-25 DOI:10.1049/syb2.12064
Ning Liu, Guangjing Liu, Qian Ma, Xiaobing Li
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引用次数: 1

Abstract

Chromosomal instability (CIN) is closely associated to the early detection of several clinical tumours. In this study, the authors first established a novel prognostic model of melanoma using the hub genes of CIN, based on the datasets of The cancer genome atlas-skin cutaneous melanoma (TCGA-SKCM) and GSE65904 cohorts. Based on the risk scores of our model, the disease-specific survival (DSS) prognosis was worse in the high-risk group. Combining risk score, stage, age, ulceration, and clark factors, a Nomogram was generated to predict 1, 3, 5-year survival rates, which indicated a good clinical validity. Our finding also showed a correlation between high/low risk and tumour infiltration levels of ‘activated CD8 T cells’ and ‘effector memory CD8 T cells’. Moreover, the authors first performed a CIN-based tumour clustering analysis using TCGA-SKCM cases, and identified two melanoma clusters, which exhibit the distinct DSS prognosis and the tumour-infiltrating levels of CD8 T cells. Taken together, a promising CIN-related prognostic signature and clustering for melanoma cases were first established in our study.

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皮肤黑色素瘤病例的染色体不稳定性相关预后特征和聚类调查
染色体不稳定性(CIN)与几种临床肿瘤的早期发现密切相关。在本研究中,作者首先基于the cancer genome atlas-skin skin melanoma (TCGA-SKCM)和GSE65904队列的数据集,利用CIN枢纽基因建立了一种新的黑色素瘤预后模型。根据我们模型的风险评分,高危组的疾病特异性生存(DSS)预后较差。结合风险评分、分期、年龄、溃疡、clark等因素,生成Nomogram预测1、3、5年生存率,临床有效性较好。我们的发现还显示了“活化CD8 T细胞”和“效应记忆CD8 T细胞”的高/低风险与肿瘤浸润水平之间的相关性。此外,作者首先使用TCGA-SKCM病例进行了基于cin的肿瘤聚类分析,并确定了两个黑色素瘤簇,它们表现出不同的DSS预后和CD8 T细胞的肿瘤浸润水平。综上所述,我们的研究首次建立了一个有希望的与cin相关的黑色素瘤病例预后特征和聚类。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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